Data Solution Engineer

Senior Consultant, | Data & AI | DevOps & SRE | Cybersecurity & Governance | Cloud Engineering

About Our Client

Our client is a fast-growing financial services startup backed by a reputable regional financial institution. With an expanding presence in Malaysia, the company is aggressively scaling its data engineering, analytics, and digital product capabilities to support its next phase of growth.

Built on a modern technology stack and a strong engineering culture, the organization places heavy emphasis on real-time data processing, automation, and data reliability to power its banking and fintech offerings.

Key Responsibilities :

• Design and build scalable data pipelines using technologies such as Scala, PySpark, and Apache Spark to support both batch and streaming data use cases.
• Design end-to-end data solutions covering ingestion, storage, processing, transformation, and consumption, ensuring they are modular, cost-efficient, and aligned with cloud-native best practices.
• Develop and maintain ETL / ELT workflows on modern data platforms (e.g., Databricks or equivalent), ensuring efficient data processing, transformation, and orchestration.
• Work with cross-functional teams (Engineering, Product, Analytics) to understand data requirements and deliver high-quality, well-structured datasets for business and product use.
• Apply strong coding and engineering practices to data pipelines, including version control, testing, documentation, and collaboration through Git-based workflows.

What We’re Looking For (Requirements)

Seniority level

Mid‑Senior level

Employment type

Full‑time

Job function

Information Technology

Industries

Staffing and Recruiting, Financial Services, and Banking

#J-18808-Ljbffr